Optimal economic-driven planning of multiple DG and capacitor in distribution network considering different compensation coefficients in feeder’s failure rate evaluation

Abstract

The main aim of Distribution Companies (DISCOs) is to satisfy end user demand with quality and reliable supply of power at all possible locations in the distribution network. Since majority of loads connected to the distribution network are inductive in nature, there exists possibility of higher energy loss and lower reliability in the distribution feeder sections. In this study optimal planning of Distributed Generation (DG) and capacitor is investigated considering maximization of total cost benefit as main objective. Here, the cost benefit due to DG and capacitor installation is attained by minimizing energy purchased from the substation including energy loss and by reducing Expected Interruption Cost (ECOST) of the system. Moreover, a detailed analysis is carried out in the DG and capacitor planning problem considering different compensation coefficients in feeder’s failure rate evaluation so that the compensation coefficient resulting in enhanced net cost benefit is identified. Furthermore, a hybrid combination of Weight Improved Particle Swarm Optimization (WIPSO) and Gravitational Search Algorithm (GSA) called hybrid WIPSO-GSA algorithm is proposed to solve the optimal DG and capacitor planning problem in the distribution network. The proposed methodology is tested on standard 33-bus and Indian 85-bus distribution systems. The superiority of the proposed hybrid algorithm is also illustrated by comparing the results with other optimization techniques. Keywords: Distributed Generation (DG), Capacitor, Optimal Planning, Feeder’s failure rate modeling, Energy loss reduction, Reliability enhancement, Hybrid WIPSO-GSA algorithm